The MINI-S for DSM-V is a semi-structured diagnostic tool traditionally using binary (yes/no) questions for identifying psychiatric disorders. In recent advances in psychiatric research, clinicians and researchers have sought to integrate dimensional approaches to better capture symptom severity. By adapting the MINI-S from binary to a graded response system (0 for “nothing”, 1 for “mild”, 2 for “moderate”, and 3 for “severe”), a more nuanced profile of patient symptoms can emerge. Coupled with the Research Domain Criteria (RDoC), this approach not only evaluates discrete psychiatric conditions but also maps symptoms onto fundamental neurobiological systems.
The RDoC framework, developed to guide research into psychiatric illnesses, divides mental functioning into several domains such as Negative Valence Systems, Positive Valence Systems, Cognitive Systems, Social Processes, and Arousal/Regulatory Systems. Using this framework, items from the MINI-S can be re-coded with graded scales to allow the clinician to sum the responses per domain. Based on these aggregate scores, predictions can be made about the degree of disruption in each RDoC domain.
Traditionally, many questions in the MINI-S are presented in a yes or no format; however, psychiatric symptoms exist along a continuum. For instance, the key symptom of depression “feeling down most of the day” can vary from a fleeting occurrence to a pervasive, debilitating state. Converting such binary items to a 0–3 scale provides richer information:
This reformulation facilitates a more objective tracking of symptom intensity, enabling longitudinal assessments and a better reflection of the patient’s clinical state.
The RDoC framework is used to guide research based on dimensions of observable behavior and neurobiological measures. These domains encompass:
Each question in the adapted MINI-S may be linked to one or several of these domains. When a patient responds using the 0–3 scale, clinicians can sum the items corresponding to each domain. This aggregate score provides an estimation of the likelihood that the specified RDoC domain is disrupted, supporting a dimensional and integrative approach to psychiatric diagnostics.
Below is a detailed example of how the adapted MINI-S might be structured. This example is divided into sections that align with both traditional diagnostic modules and the corresponding RDoC domains.
Question: "How severe has your feeling of sadness, down, or depression been most of the day for the past two weeks?"
Response Options: 0 (Not at all), 1 (Mild), 2 (Moderate), 3 (Severe)
This question is directly linked to the Negative Valence Systems domain because it assesses affective responses related to loss and depressive affect. A higher score in this item, when combined with similar items, could indicate a greater disruption in this domain.
Question: "How severe has your feeling of anxiety or nervousness been during the past month?"
Response Options: 0 (Not at all), 1 (Mild), 2 (Moderate), 3 (Severe)
Anxiety symptoms also map onto the Negative Valence Systems domain, especially when considering responses related to perceived threat or potential harm. By summing the responses, clinicians can predict the likelihood of negative valence system disruption.
Question: "How severe has your difficulty in experiencing pleasure or interest in activities that you usually enjoy been during the past two weeks?"
Response Options: 0 (Not at all), 1 (Mild), 2 (Moderate), 3 (Severe)
This question assesses deficits in reward responsiveness—a key component of the Positive Valence Systems domain. A high score here may be indicative of anhedonia, which is often seen in depressive disorders and various mood disturbances.
Question: "How severe has your reduced motivation to engage in rewarding activities been?"
Response Options: 0 (Not at all), 1 (Mild), 2 (Moderate), 3 (Severe)
This further expands on the evaluation of the Positive Valence Systems by targeting aspects of reward processing and effort-based decision making.
Question: "How severe have your problems with concentration or maintaining focus been during the past two weeks?"
Response Options: 0 (Not at all), 1 (Mild), 2 (Moderate), 3 (Severe)
This question provides insight into cognitive impairments often seen in various psychiatric illnesses such as mood disorders or ADHD. Scoring here helps gauge the degree of cognitive dysfunction.
Question: "How severe have your difficulties been in remembering important information or making decisions?"
Response Options: 0 (Not at all), 1 (Mild), 2 (Moderate), 3 (Severe)
This item is critical in further delineating the cognitive systems involved in psychiatric function and distinguishes between attentional deficits and memory issues.
Question: "How severe have your feelings of social disconnection or isolation been over the past month?"
Response Options: 0 (Not at all), 1 (Mild), 2 (Moderate), 3 (Severe)
This question taps into the Social Processes domain by evaluating the individual’s perceived ability to form or maintain close social relationships.
Question: "How severe has your fear of being judged or rejected in social situations been?"
Response Options: 0 (Not at all), 1 (Mild), 2 (Moderate), 3 (Severe)
Addressing fears related to social interactions, this item enhances the understanding of disturbances within the Social Processes domain.
Question: "How severe have your sleep disturbances (insomnia or hypersomnia) been over the past two weeks?"
Response Options: 0 (Not at all), 1 (Mild), 2 (Moderate), 3 (Severe)
Sleep patterns are a crucial indicator of the arousal and regulatory systems. Abnormal sleep can not only reflect but also exacerbate disturbances across multiple psychiatric domains.
Question: "How severe has your experience of hyperactivity or restlessness been, making it hard for you to stay still?"
Response Options: 0 (Not at all), 1 (Mild), 2 (Moderate), 3 (Severe)
Such somatic symptoms contribute to the evaluation of the arousal/regulatory systems domain, revealing potential dysregulation that may occur independently or alongside mood disturbances.
Once the patient has responded to all relevant items using the 0–3 scale, clinicians can calculate domain-specific scores by summing the items that have been mapped to each RDoC domain. The following table illustrates an example of how these scores might be organized:
RDoC Domain | Related Items | Maximum Possible Score | Interpretation Threshold* (Example) |
---|---|---|---|
Negative Valence Systems | Depressive Mood, Anxiety | 6 | ≥ 50% of max (≥ 3) indicates disruption |
Positive Valence Systems | Anhedonia, Decreased Motivation | 6 | ≥ 50% of max (≥ 3) indicates disruption |
Cognitive Systems | Attention/Concentration, Memory/Decision Making | 6 | ≥ 50% of max (≥ 3) indicates disruption |
Social Processes | Social Disconnection, Fear of Judgment | 6 | ≥ 50% of max (≥ 3) indicates disruption |
Arousal/Regulatory Systems | Sleep Disturbances, Hyperactivity/Restlessness | 6 | ≥ 50% of max (≥ 3) indicates disruption |
*Note: The thresholds provided are purely illustrative. In clinical practice, these cut-offs would need to be empirically validated through rigorous studies. A clinician would typically review a profile of summed domain scores. For example, a patient scoring 5 or 6 in the Negative Valence Systems domain might be regarded as having a high likelihood of disruptions in that domain, thereby warranting further evaluation or targeted intervention.
While adapting a diagnostic tool such as the MINI-S to include scaled responses can enhance dimensional understanding, it is critically important to validate the revised format statistically. Psychometric evaluation would include reliability testing (e.g., test-retest and inter-rater reliability), factor analysis to confirm that items correctly load onto their respective RDoC domains, and validation against clinical outcomes. This ensures that the rescaled version preserves diagnostic sensitivity while refining specificity.
The dimensional scoring system is particularly useful in clinical settings where subtle gradations of symptom severity can inform treatment planning. For example, patients with moderate scores across several domains might benefit from integrated treatment plans that address both cognitive and emotional disturbances. Longitudinal tracking of these scores can also help in monitoring treatment response and making necessary adjustments.
In practice, clinicians would begin with the patient’s self-report, scoring each item and subsequently summing responses for each domain. Integrated digital platforms can be particularly useful here, offering real-time computation of scores and facilitating a more personalized treatment plan. Ultimately, this integrative method serves as an adjunct to traditional diagnostic criteria and complements clinical judgment.
In practice, some symptoms may be indicative of disruptions in multiple domains. For instance, sleep disturbances may reflect issues in both the arousal/regulatory domain and cognitive functioning. Clinicians must be aware of such overlaps and consider sophisticated statistical techniques (e.g., factor analysis and latent variable models) to appropriately weight and interpret these symptoms.
Adaptations of the MINI-S must account for individual variability. Cultural factors, developmental stage, and other comorbid conditions may influence how symptoms are expressed and perceived. Therefore, while the diagnostic tool can be universally structured, its interpretation should always be tailored to the individual context.
Mapping MINI-S items to RDoC domains also opens up avenues for research into the neurobiological bases of psychiatric disorders. By correlating domain scores with biological markers or neuroimaging findings, researchers can further unpack the dimensional underpinnings of mental health, ultimately leading to more targeted and effective interventions.
In conclusion, adapting the MINI-S for DSM-V to include a graded response format on a scale from 0 (nothing) to 3 (severe) offers significant advantages over traditional binary responses. Not only does this approach provide a richer, more nuanced picture of symptom severity, but it also facilitates integration with the RDoC framework. By mapping each item to its respective RDoC domain, clinicians are better equipped to quantify disruptions across Negative Valence, Positive Valence, Cognitive Systems, Social Processes, and Arousal/Regulatory Systems. The aggregate scores from these domains serve as a valuable guide in determining which networks might be predominantly affected, thereby enriching both diagnostics and treatment planning.
However, it is essential to stress that while this revised approach shows promising potential, clinical implementation must be preceded by thorough psychometric validation. Through iterative testing and refinement across diverse populations, this adapted MINI-S model could emerge as a powerful tool in both clinical and research settings, ultimately bridging the gap between traditional diagnostic criteria and modern dimensional models of psychiatric illness.